Learners’ Strategies in Interactive Sorting Tasks

Norbert Noster*, Arnon Hershkovitz, Michal Tabach, Hans Stefan Siller

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Using examples and non-examples is a common technique to demonstrate concepts’ characteristics and boundaries. Based on their properties, certain objects are accepted as examples or non-examples intuitively, while others are accepted or neglected non-intuitively. This 2*2 classification is powerful when designing technology-enhanced learning experiences in which feedback could be provided in real-time. That is, feedback could be based not only on the correctness of student response, but also on the specifics of the objects with which they were engaged. Following this framework, we developed an interactive sorting task that aims at strengthening elementary school students’ understanding of reflective symmetry. We studied learners’ interaction with the objects presented to them, and their success. Our study included 29 elementary school students (ages 9 to 12) from both Israel and Germany. We used screen recording to code participants’ shape-movements, and defined quantitative measures of these movements. Our findings support the need for designing feedback that takes into consideration object’s properties and students’ behavior.

Original languageEnglish
Title of host publicationEducating for a New Future
Subtitle of host publicationMaking Sense of Technology-Enhanced Learning Adoption - 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Proceedings
EditorsIsabel Hilliger, Pedro J. Muñoz-Merino, Tinne De Laet, Alejandro Ortega-Arranz, Tracie Farrell
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9783031162893
StatePublished - 2022
Event17th European Conference on Technology Enhanced Learning, EC-TEL 2022 - Toulouse, France
Duration: 12 Sep 202216 Sep 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13450 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th European Conference on Technology Enhanced Learning, EC-TEL 2022


  • Feedback
  • Interactive tasks
  • Mathematics education


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